R Workshop

Module 6: “To Infinity and Beyond” (2)

2018-04-18
Bobae Kang
(Bobae.Kang@illinois.gov)

• We cannot know everything.
• In fact, no one knows everything!
• “Someone has already done it.”

Source: Wikimedia Commons

• First, try yourself!
• If you cannot solve it, then go online.

• typos
• packages

Source: Google.com

• Be specific and succint

Source: R Project

• Cheetsheets
• Webinar & videos

• Can also be downloaded via RStudio IDE

• Articles

• Video & wrttien tutorial
• Articles
• Reference

• Wickham H. and Grolemund G., R for Data Science
• Wickham H., Advanced R
• Wickham H., R Packages
• U of Cincinnati, UC Business Analytics R Programming Guide
• Wikibooks, R Programming

Source: R for Data Science

• Yau, C. R Tutorial
• Kabacoff, R. Quick-R

• R Introduction
• Elementary Statistics with R

• R Tutorial
• R Interface
• Data Input
• Data Management
• Statistics
• Advanced Statistics
• Graphs
• Advanced Graphs

Source: GitHub

“GitHub is a development platform inspired by the way you work. From open source to business, you can host and review code, manage projects, and build software alongside millions of other developers.” - GitHub.com

• Most R packages are available as GitHub repositories, which can be “cloned” and downloaded if wanted.
• Many R package authors offer brief explanations and even quick tutorials for their packages on the GitHub repositories.

Source: worldview.stanford.edu

• DataCamp
• Coursera
• edX
• Udemy
• Udacity

• Requires registration and log-in

• You can “audit” the course for free

• Data Science Specialization (10 courses)

• Statistics with R Specialization (5 courses)

Source: